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Fingerprint Dive into the research topics where Benjamin Kellenberger is active. These topic labels come from the works of this person. Together they form a unique fingerprint.

  • 15 Similar Researchers
Neural networks Engineering & Materials Science
Unmanned aerial vehicles (UAV) Engineering & Materials Science
Animals Engineering & Materials Science
Labels Engineering & Materials Science
learning Earth & Environmental Sciences
Antennas Engineering & Materials Science
Mammals Engineering & Materials Science
animal Earth & Environmental Sciences

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Research Output 2018 2019

  • 8 Conference paper
  • 3 Article

Best practices to train deep models on imbalanced datasets—a case study on animal detection in aerial imagery

Kellenberger, B., Marcos, D. & Tuia, D., 1 Jan 2019, Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2018, Proceedings. Brefeld, U., Marascu, A., Pinelli, F., Curry, E., MacNamee, B., Hurley, N., Daly, E. & Berlingerio, M. (eds.). Springer Verlag, p. 630-634 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11053 LNAI).

Research output: Chapter in Book/Report/Conference proceedingConference paper

Best Practice
Curricula
Recommendations
Animals
Antennas
1 Citation (Scopus)
Unmanned aerial vehicles (UAV)
Labels
Animals
imagery
learning

When a Few Clicks Make All the Difference: Improving Weakly-Supervised Wildlife Detection in UAV Images

Kellenberger, B. A., Marcos Gonzalez, D. & Tuia, D., 2019, Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops. Institute of Electrical and Electronics Engineers Inc., 9 p.

Research output: Chapter in Book/Report/Conference proceedingConference paper

Open Access
Antennas
Labels
Detectors
Experiments
2 Citations (Scopus)

A Deep Network Approach to Multitemporal Cloud Detection

Tuia, D., Kellenberger, B., Perez-suey, A. & Camps-valls, G., 5 Nov 2018, 2018 IEEE International Geoscience & Remote Sensing Symposium Proceedings: Observing, Understanding And Forecasting The Dynamics Of Our Planet. IEEE Xplore, p. 4351-4354

Research output: Chapter in Book/Report/Conference proceedingConference paper

Open Access
Meteosat
pixel
learning
time series
detection
3 Citations (Scopus)

DeepJDOT: Deep Joint Distribution Optimal Transport for Unsupervised Domain Adaptation

Damodaran, B. B., Kellenberger, B., Flamary, R., Tuia, D. & Courty, N., 6 Oct 2018, Computer Vision – ECCV 2018 - 15th European Conference, 2018, Proceedings. Springer Verlag, p. 467-483 17 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11208 LNCS).

Research output: Chapter in Book/Report/Conference proceedingConference paper

Optimal Transport
Joint Distribution
Classifiers
Classifier
Computer vision

Projects 2017 2017

tbd

Kellenberger, B., Bregt, A. & Tuia, D.

1/08/17 → …

Project: PhD